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Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering (2024)
Conference Proceeding
Zayed, A., & Al-Said Ahmad, A. (2024). Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering. . https://doi.org/10.1109/qrs-c63300.2024.00172

This study explores the use of chaos engineering in evaluating the performance and resilience of serverless applications, which are built as complex distributed systems subject to different types of failures and errors. By intentionally injecting con... Read More about Evaluating the Performance Resilience of Serverless Applications using Chaos Engineering.

Towards Antifragility of Cloud Systems: An Adaptive Chaos driven Framework (2024)
Journal Article
Botros, J. S., Al-Qora'n, L. F., & Al-Said Ahmad, A. (2024). Towards Antifragility of Cloud Systems: An Adaptive Chaos driven Framework. Information and Software Technology, 174, Article 107519. https://doi.org/10.1016/j.infsof.2024.107519

Context
Unlike resilience, antifragility describes systems that get stronger rather than weaker under stress and chaos. Antifragile systems have the capacity to overcome stressors and come out stronger, whereas resilient systems are focused on their... Read More about Towards Antifragility of Cloud Systems: An Adaptive Chaos driven Framework.

Exploring the impact of chaos engineering with various user loads on cloud native applications: an exploratory empirical study (2024)
Journal Article
Al-Said Ahmad, A., Al-Qora’n, L. F., & Zayed, A. (2024). Exploring the impact of chaos engineering with various user loads on cloud native applications: an exploratory empirical study. Computing, 106(7), 2389-2425. https://doi.org/10.1007/s00607-024-01292-z

One of the most popular models that provide computer resources today is cloud computing. Today’s dynamic and successful platforms are created to take advantage of various resources available from service providers. Ensuring the performance and availa... Read More about Exploring the impact of chaos engineering with various user loads on cloud native applications: an exploratory empirical study.

Cloud Computing-Assisted Real-Time Health Monitoring and Tracking (2023)
Book Chapter
Al-Said Ahmad, A., & El-Emam, N. N. (2023). Cloud Computing-Assisted Real-Time Health Monitoring and Tracking. In Intelligent Internet of Things for Smart Healthcare Systems (101-112). Taylor & Francis (Routledge). https://doi.org/10.1201/9781003326182-7

Through the advent of cloud computing and its services, health real-time monitoring and tracking have become more accessible. Cloud computing delivers accurate medical information faster and more securely through several ready-to-use services. E-heal... Read More about Cloud Computing-Assisted Real-Time Health Monitoring and Tracking.

Web applications testing techniques: a systematic mapping study (2022)
Journal Article
Hanna, S., & Al-Said Ahmad, A. (2022). Web applications testing techniques: a systematic mapping study. International Journal of Web Engineering and Technology, 372-412. https://doi.org/10.1504/IJWET.2022.10054339

Due to the importance of Web application testing techniques for detecting faults and assessing quality attributes, many research papers were published in this field. For this reason, it became essential to analyse, classify and summarize the research... Read More about Web applications testing techniques: a systematic mapping study.

A Performance Evaluation Approach for n-tier Cloud-Based Software Services (2022)
Conference Proceeding
Al-Said Ahmad, A., & Alzboon, G. (2022). A Performance Evaluation Approach for n-tier Cloud-Based Software Services. . https://doi.org/10.1145/3555962.3555968

Cloud computing and cloud testing are vast fields that have attracted significant attention recently. In addition, the need to find an approach for measuring cloud-based applications' effectiveness has also increased. In this work, we introduced an a... Read More about A Performance Evaluation Approach for n-tier Cloud-Based Software Services.

Scalability resilience framework using application-level fault injection for cloud-based software services (2022)
Journal Article
Al-Said Ahmad, A., & Andras, P. (2022). Scalability resilience framework using application-level fault injection for cloud-based software services. Journal of Cloud Computing: Advances, Systems and Applications, 11, Article 1. https://doi.org/10.1186/s13677-021-00277-z

This paper presents an investigation into the effect of faults on the scalability resilience of cloud-based software services. The study introduces an experimental framework using the Application-Level Fault Injection (ALFI) to investigate how the fa... Read More about Scalability resilience framework using application-level fault injection for cloud-based software services.

An Experimental Performance Evaluation of Cloud-API-Based Applications (2021)
Journal Article
Abuzrieq, Y., Al-Said Ahmad, A., & Younes, M. (2021). An Experimental Performance Evaluation of Cloud-API-Based Applications. Future Internet, 314 - 314. https://doi.org/10.3390/fi13120314

Cloud Application Programming Interfaces (APIs) have been developed to link several cloud computing applications together. API-based applications are widely used to provide flexible and reliable services over cloud platforms. Recently, a huge number... Read More about An Experimental Performance Evaluation of Cloud-API-Based Applications.

Scalability Analysis Comparisons of Cloud-based Software Services (2019)
Journal Article
Al-Said Ahmad, A., & Andras, P. (in press). Scalability Analysis Comparisons of Cloud-based Software Services. Journal of Cloud Computing: Advances, Systems and Applications, 8, Article 10. https://doi.org/10.1186/s13677-019-0134-y

Performance and scalability testing and measurements of cloud-based software services are necessary for future optimizations and growth of cloud computing. Scalability, elasticity, and efficiency are interrelated aspects of cloud-based software servi... Read More about Scalability Analysis Comparisons of Cloud-based Software Services.

Cloud-based Software Services Delivery from the Perspective of Scalability (2019)
Journal Article
Al-Said Ahmad, A., & Andras, P. (2019). Cloud-based Software Services Delivery from the Perspective of Scalability. International Journal of Parallel, Emergent and Distributed Systems, 36(2), 1-16. https://doi.org/10.1080/17445760.2019.1617864

Measuring and testing the scalability and performance of cloud-based software services is critical for the delivery of such services, and the development of cloud computing. There are three interconnected Cloud-based software services’ performance as... Read More about Cloud-based Software Services Delivery from the Perspective of Scalability.

Measuring and Testing the Scalability of Cloud-based Software Services (2019)
Conference Proceeding
Al-Said Ahmad, A., & Andras, P. (2019). Measuring and Testing the Scalability of Cloud-based Software Services. In 2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT) (67-74). https://doi.org/10.1109/ISIICT.2018.8613297

Performance and scalability testing and measurements of cloud-based software services are critically important in the context of rapid growth of cloud computing and supporting the delivery of these services. Cloud-based software services performance... Read More about Measuring and Testing the Scalability of Cloud-based Software Services.

Measuring the Scalability of Cloud-based Software Services (2018)
Conference Proceeding
Al-Said Ahmad, A., & Andras, P. (2018). Measuring the Scalability of Cloud-based Software Services. . https://doi.org/10.1109/SERVICES.2018.00016

Measuring and testing the performance of cloud-based software services is critically important in the context of rapid growth of cloud computing. Scalability, elasticity and efficiency are interrelated aspects of performance of cloud-based software s... Read More about Measuring the Scalability of Cloud-based Software Services.

A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods (2017)
Conference Proceeding
Al-Said Ahmad, A., Brereton, O., & Andras, P. (2017). A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods. In 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C). https://doi.org/10.1109/QRS-C.2017.94

Context: Software has become more complicated, dynamic, and asynchronous than ever, making testing more challenging. With the increasing interest in the development of cloud computing, and increasing demand for cloud-based services, it has become ess... Read More about A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods.